Sentences with phrase «of multicollinearity»

Note that before squaring workload, we first person - mean centered this variable due to the high risk of multicollinearity otherwise.

However, analysis of regression structure coefficients (child report of adherence rs =.67, parent report of adherence rs =.59), which are not suppressed or inflated by collinearity, demonstrates that beta weights for adherence are low because of multicollinearity between predictors, not poor relations with the outcome variable.

This presence of multicollinearity between values of adherence and the family variables is as would be expected.

The means, standard deviations, and bivariate correlations among the model variables are summarized in Table I. Correlations among the predictors of engagement were modest and do not suggest the presence of multicollinearity.

Bartlett's test of sphericity was statistically significant (χ2 = 1,763.72, df = 78, p <.001), and no evidence of multicollinearity or singularity was found (Tabachnick and Fidell 2001).

Additionally, the correlation between any two variables did not reach the mean scale reliability, which shows no evidence of multicollinearity according to Campbell and Fiske (1959).

Results from these tests showed that the assumption of multicollinearity was not violated with VIF values less than 1.25 and Tolerance values above 0.93.

To deal with the issue of multicollinearity in the data, all variables were examined using the Variance Inflation Factor (VIF) and Tolerance in SPSS.

Not exact matches

However, there was not a strong multicollinearity between velocity and our other predictor variables (tolerance values for velocity: amphibians = 0.51, mammals = 0.49, birds = 0.52, values differ due to the use of different predictor variable subsets).

Given the multicollinearity problems of my model, here is what I think I know:

In spite of significant intercorrelations among some of the predictor variables, none of these correlations approached the level -LRB-.70 or higher) suggestive of significant problems with multicollinearity (Tabachnick & Fidell, 1996, p. 86).

On the basis of this examination and approach to modeling, 35 multicollinearity was deemed to have minimal effect in respect to the final models.

We were able to estimate a stable model, though, by constraining ORs for particular types / numbers of disorders to be the same in predicting both planned and unplanned attempts unless the interaction of the predictor with plans in the pooled model was significant at the α level of.05 and had an estimated variance inflation factor (a diagnostic test suggesting that a regression coefficient might be affected by multicollinearity) of less than 10.0.

In the current study, although multicollinearity was not indicated, there was a significant correlation between the two subscales of the HADS.

[jounal] Marsh, H. W. / 2004 / Why multicollinearity matters: A reexamination of relations between self - efficacy, self - concept, and achievement / Journal of Educational Psychology 96 (3): 518 ~ 522

Analysis of both the standardized regression weights and the structure coefficients suggests that despite multicollinearity between adherence reports and family functioning, adherence is related to metabolic control.